DocumentCode
2651568
Title
Automated detection and classification of vascular abnormalities in diabetic retinopathy
Author
Vallabha, Deepika ; Dorairaj, Ramprasath ; Namuduri, Kamesh ; Thompson, Hilary
Author_Institution
Dept. of Electr. & Comput. Eng.,, Wichita State Univ., KS, USA
Volume
2
fYear
2004
fDate
7-10 Nov. 2004
Firstpage
1625
Abstract
Diabetic retinopathy is a progressive ocular disease. The disease may advance from mild to severe non-proliferative diabetic retinopathy. This paper proposes a method for automated detection and classification of vascular abnormalities in diabetic retinopathy. The vascular abnormalities are detected using scale and orientation selective Gabor filter banks. The proposed method classifies the retinal image as mild or severe case based on the outputs obtained from Gabor filters.
Keywords
channel bank filters; diseases; eye; image classification; medical image processing; Gabor filter banks; automated detection; diabetic retinopathy; ocular disease; retinal image; vascular abnormalities; Cotton; Diabetes; Diseases; Fires; Gabor filters; Hemorrhaging; Nerve fibers; Retina; Retinopathy; Wool;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN
0-7803-8622-1
Type
conf
DOI
10.1109/ACSSC.2004.1399432
Filename
1399432
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